Senegal vs Tanzania

Senegal vs Tanzania: Tropical nights

Tropical nights in 2014: 302.1 nights in Senegal and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 195.8 nights, or 2.84 times that in Tanzania.

Watch it change on the map

nights a year · CMIP6

Senegal vs Tanzania: Tropical nightsTropical nights in 2014: 302.1 nights in Senegal and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 195.8 nights, or 2.84 times that in Tanzania.
SenegalTanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Senegal has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Senegal at 347.3 nights and Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearSenegalTanzania
2014302.1106.3
2013300.9105.5
2012304.1108.4
2011302.1109
2010301.5103.9
2009302.1101.1
2008298.3100.3
2007298.599.5
2006298.6100.4
2005298.198.7
2004294.7100.4
2003296.199.6
200229698.4
2001298.9101.5
200029594.9
1999293.294.2
1998292.596.8
1997288.593.5
1996285.189.6
1995285.988.5
1994283.785.4
199328281.2
1992277.680.1
1991286.789.6
1990292.591.1
1989282.189.1
1988282.487.6
1987281.888.5
198628389.4
1985278.183
1984274.683.1
1983276.382.1
1982281.384.8
1981277.988
1980277.685
197928185.5
1978280.782.9
197727884.1
1976274.481
1975278.480.8
1974273.882.2
1973274.583.6
1972273.581.4
1971273.480.7
1970271.381.8
1969271.679.5
1968272.679.1
1967275.477.5
1966273.378.1
1965272.878
1964271.873.8
1963272.873.1
1962280.281.1
1961276.982.6
1960279.283.9
1959277.481.4
1958278.882.1
1957274.480.9
1956273.280
1955273.481.6
195427581.4
1953271.780.6
195227181.4
1951272.982.1
1950270.880.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSenegalTanzania
2015298.9275.9–321114.895.2–137.4
2016302.7276.5–319108.391.6–125.6
2017302.9285.4–318.6114.893.6–137.8
2018305.6289.2–321.5116.497.4–137.1
2019307.6280.6–328.1113.495.2–133.2
2020305.2276.2–322.9119.396.2–143.5
2021307.6286–325.6119.5100.9–147.1
2022312.9289.6–334.3124.4105.3–147.4
2023307.5292.2–328.6122.1102.1–147.8
2024313.2294.6–326.9126.2100–150.1
2025311.8289–329.4124.6100.9–154
2026308.3285.2–328.6126.999.1–155.6
2027310.7287.8–330128102.9–147.7
2028316.3289.2–331.6129.9106.4–152.1
2029315.7291.2–334.2134.1111–156.5
2030311.5289.1–329.1129.4106.4–151.1
2031318.8296.3–335136.4115.9–158.4
2032316295.7–332.4135.1114–166.8
2033316.7289.6–336.4135.2110.9–161.9
2034315.4291.6–335.1134.7112.5–166.3
2035316.8291.1–335.3140.2114.6–165
2036320.8298.5–335.3137.8113.3–165.5
2037324.5303.1–337.7142.9121.5–168.9
2038323.5304.2–339.7147.9124.3–169.3
2039323.3300.9–337144.3117.6–171.3
2040322.4298.9–339.5140.5117–178
2041320.2300.1–343.6149.1121.7–175.6
2042320302.1–339.9146.3120.5–185.3
2043320.4303.7–340.4144.6117–173
2044326.9301.5–340.9147.7121.2–175.8
2045324.1304.1–340150.1125.2–183.4
2046325.9304.7–340.6161.5128.6–192.2
2047329301.4–347160.2129.7–194.4
2048331.1314.3–344.8158.8132.7–193.1
2049331.3308.3–343.7157.6131.1–196
2050327.6306.5–341.9159.7127.8–192
2051328307.1–344163.2135.5–197.8
2052325.4308.1–344.2161.9136.2–199.1
2053331.8304.9–347.2160.6127.5–197.7
2054330.1310.8–345.2163.2131.5–200.2
2055330.1305.5–344167.4137–208.3
2056331.4307.4–349.8166.4130.8–209.7
2057337306.4–351.5168134.6–208.3
2058333313.2–350.2168.7134.9–210.3
2059334315.6–353.5174.7144.9–219.5
2060334.5316.4–351.1181.7138.1–219.8
2061333.7307.5–352.9171.8135.5–218.1
2062333.3312.4–350.2177.5139.9–224
2063335.4313.2–352.8181.4140.1–213.8
2064335.4307.1–351.1185.3140.1–215.2
2065334.8314.1–352.8183.5141.1–221.8
2066337.3312.9–351181.9146.3–219.3
2067335.5309.9–349.9178.8138.8–229.2
2068335.5313.5–354186144.2–228.4
2069336.1316.9–351.8183.7141.7–225.3
2070333.3312.9–352.9180.7140.4–228.2
2071335.7321.1–351.9184.9146.9–235.2
2072342.3321–354.6191.3155–226.1
2073339.4320.1–356.1191.6152.4–235.6
2074335.9317.1–351.8183.3149.7–231.7
2075338.4320.7–354.1183.8144.8–233
2076338.7321.9–352191.1150.9–233.2
2077342.8314.8–357.3191.3152.6–238.2
2078343325.8–355.4189156.6–233.8
2079341.2322.3–357.6190.5147–237.3
2080340.9317.7–358.1197.3150.7–241.2
2081339.8315.5–357.1195.6153.4–237.4
2082341.6316.4–354.9194.5157.3–237.3
2083340.8324.8–356.9193.2151–249.8
2084340.4322.8–354.9201.1152.2–246.7
2085346.8325.6–357204.2162.3–252.3
2086341.7324.4–357.6195156–248.7
2087343.9325.9–357.7196.7160.8–244.5
2088341.5321.6–358.2208.4154.7–246.9
2089343.2324.3–355.2201.3158.6–248.2
2090342320.6–356197.9160.7–253.6
2091341.7319.8–356.4210161.6–256
2092339.7318.4–357.7205.8158.3–253.6
2093345326.8–356.4207.2161.2–251.9
2094344.4324.3–357.6207.9161.3–250.6
2095346.3320.6–359.4214.2166.4–258.5
2096344.4323.1–359.2205.3159.8–257.4
2097341.4321.3–353.8206.6158.4–256.8
2098345322.3–357209.1161–258.3
2099344.6322.7–357.5208.5160.1–256
2100347.3323.6–359.2208158.6–258.6

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

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